BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

213 related articles for article (PubMed ID: 35532795)

  • 1. Discovering biomarkers for hormone-dependent tumors: in silico study on signaling pathways implicated in cell cycle and cytoskeleton regulation.
    Waszczykowska K; Prażanowska K; Kałuzińska Ż; Kołat D; Płuciennik E
    Mol Genet Genomics; 2022 Jul; 297(4):947-963. PubMed ID: 35532795
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Functional genomics of AP-2α and AP-2γ in cancers: in silico study.
    Kołat D; Kałuzińska Ż; Orzechowska M; Bednarek AK; Płuciennik E
    BMC Med Genomics; 2020 Nov; 13(1):174. PubMed ID: 33213447
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Identification of Key Modules and Hub Genes Involved in Esophageal Squamous Cell Carcinoma Tumorigenesis Using WCGNA.
    Chen N; Zhang G; Fu J; Wu Q
    Cancer Control; 2020; 27(1):1073274820978817. PubMed ID: 33345608
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Bioinformatics analyses of significant genes, related pathways and candidate prognostic biomarkers in glioblastoma.
    Zhou L; Tang H; Wang F; Chen L; Ou S; Wu T; Xu J; Guo K
    Mol Med Rep; 2018 Nov; 18(5):4185-4196. PubMed ID: 30132538
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identification of Key Genes and Pathways in Cervical Cancer by Bioinformatics Analysis.
    Wu X; Peng L; Zhang Y; Chen S; Lei Q; Li G; Zhang C
    Int J Med Sci; 2019; 16(6):800-812. PubMed ID: 31337953
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Screening Hub Genes as Prognostic Biomarkers of Hepatocellular Carcinoma by Bioinformatics Analysis.
    Zhou Z; Li Y; Hao H; Wang Y; Zhou Z; Wang Z; Chu X
    Cell Transplant; 2019 Dec; 28(1_suppl):76S-86S. PubMed ID: 31822116
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Development of a 15-Gene Signature Model as a Prognostic Tool in Sex Hormone-Dependent Cancers.
    Xia Z; Xiao J; Liu A; Chen Q
    Biomed Res Int; 2021; 2021():3676107. PubMed ID: 34869761
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Translating bioinformatics in oncology: guilt-by-profiling analysis and identification of KIF18B and CDCA3 as novel driver genes in carcinogenesis.
    Itzel T; Scholz P; Maass T; Krupp M; Marquardt JU; Strand S; Becker D; Staib F; Binder H; Roessler S; Wang XW; Thorgeirsson S; Müller M; Galle PR; Teufel A
    Bioinformatics; 2015 Jan; 31(2):216-24. PubMed ID: 25236463
    [TBL] [Abstract][Full Text] [Related]  

  • 9. In silico pathway analysis in cervical carcinoma reveals potential new targets for treatment.
    van Dam PA; van Dam PJ; Rolfo C; Giallombardo M; van Berckelaer C; Trinh XB; Altintas S; Huizing M; Papadimitriou K; Tjalma WA; van Laere S
    Oncotarget; 2016 Jan; 7(3):2780-95. PubMed ID: 26701206
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identification of candidate biomarkers and pathways associated with SCLC by bioinformatics analysis.
    Wen P; Chidanguro T; Shi Z; Gu H; Wang N; Wang T; Li Y; Gao J
    Mol Med Rep; 2018 Aug; 18(2):1538-1550. PubMed ID: 29845250
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Genome-wide expression profiling reveals transcriptomic variation and perturbed gene networks in androgen-dependent and androgen-independent prostate cancer cells.
    Singh AP; Bafna S; Chaudhary K; Venkatraman G; Smith L; Eudy JD; Johansson SL; Lin MF; Batra SK
    Cancer Lett; 2008 Jan; 259(1):28-38. PubMed ID: 17977648
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Transcriptional analysis and differentially expressed gene screening of spontaneous liver tumors in CBA/CaJ mice.
    Yi Q; Liu Y; Cao M; Liu J; Xiang Q; Tan G; Zhang H; Lai G; Xie Y
    Gene; 2020 Jan; 725():144159. PubMed ID: 31629818
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Characterization of the Survival Influential Genes in Carcinogenesis.
    Sahu D; Chang YL; Lin YC; Lin CC
    Int J Mol Sci; 2021 Apr; 22(9):. PubMed ID: 33922264
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Bioinformatics Analysis of Candidate Genes and Pathways Related to Hepatocellular Carcinoma in China: A Study Based on Public Databases.
    Zhang P; Feng J; Wu X; Chu W; Zhang Y; Li P
    Pathol Oncol Res; 2021; 27():588532. PubMed ID: 34257537
    [No Abstract]   [Full Text] [Related]  

  • 15. Molecular conservation of estrogen-response associated with cell cycle regulation, hormonal carcinogenesis and cancer in zebrafish and human cancer cell lines.
    Lam SH; Lee SG; Lin CY; Thomsen JS; Fu PY; Murthy KR; Li H; Govindarajan KR; Nick LC; Bourque G; Gong Z; Lufkin T; Liu ET; Mathavan S
    BMC Med Genomics; 2011 May; 4():41. PubMed ID: 21575170
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of candidate aberrantly methylated and differentially expressed genes in thyroid cancer.
    Tu Y; Fan G; Xi H; Zeng T; Sun H; Cai X; Kong W
    J Cell Biochem; 2018 Nov; 119(11):8797-8806. PubMed ID: 30069928
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Integrated bioinformatics analysis of expression and gene regulation network of COL12A1 in colorectal cancer.
    Wu Y; Xu Y
    Cancer Med; 2020 Jul; 9(13):4743-4755. PubMed ID: 32356618
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Identification of Key Biomarkers and Potential Molecular Mechanisms in Oral Squamous Cell Carcinoma by Bioinformatics Analysis.
    Yang B; Dong K; Guo P; Guo P; Jie G; Zhang G; Li T
    J Comput Biol; 2020 Jan; 27(1):40-54. PubMed ID: 31424263
    [TBL] [Abstract][Full Text] [Related]  

  • 19. In silico identification of key genes and signaling pathways targeted by a panel of signature microRNAs in prostate cancer.
    Baruah MM; Sharma N
    Med Oncol; 2019 Apr; 36(5):43. PubMed ID: 30937635
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Analysis of carcinogenic signaling networks in endometrial cancer identifies RAB17 as a potential target.
    Zhou X; Xia G; Liu Y; Xin X; Shi R; An L; Zhang J; Zhao R; Zhao Y; Wang H
    J Cell Physiol; 2021 Jan; 236(1):328-339. PubMed ID: 32529729
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.